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	<title>Cambridge and Eco Friendly:Solar Heating Eco Boilers Research&#187; exam</title>
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		<title>Hospitality Marketing</title>
		<link>http://www.cambridge-uk.org/hospitality_management/hospitality-marketing.html</link>
		<comments>http://www.cambridge-uk.org/hospitality_management/hospitality-marketing.html#comments</comments>
		<pubDate>Sun, 17 Jan 2010 05:36:19 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[hospitality management]]></category>
		<category><![CDATA[Communication management]]></category>
		<category><![CDATA[Consumer behaviour]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[exam]]></category>
		<category><![CDATA[hospitality]]></category>
		<category><![CDATA[management]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Marketing research]]></category>
		<category><![CDATA[organisational buyer behaviour]]></category>
		<category><![CDATA[segmentation]]></category>

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Module Code
CAM 404 &#8211; H


Module Title
Hospitality Marketing


Prerequisites
None


Assesment Weightage
Exam : 100%


Textbook

Bowie &#38; Butler, (2003)Hospitality Marketing , John                 Wiley




Module Aims
The aim of this module is for students to both appreciate and apply marketing concepts to Hotel and Catering institutions.
Module Objectives
On successful [...]]]></description>
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<tr bgcolor="#cccccc" bordercolor="#000000">
<td width="25%" bgcolor="#64715e">Module Code</td>
<td width="75%" bgcolor="#64715e">CAM 404 &#8211; H</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Module Title</td>
<td bgcolor="#64715e">Hospitality Marketing</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Prerequisites</td>
<td bgcolor="#64715e">None</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Assesment Weightage</td>
<td bgcolor="#64715e">Exam : 100%</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td valign="top" bgcolor="#64715e">Textbook</td>
<td bgcolor="#64715e">
<div>Bowie &amp; Butler, (2003)Hospitality Marketing , John                 Wiley</div>
</td>
</tr>
</tbody>
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<p><strong>Module Aims</strong></p>
<p>The aim of this module is for students to both appreciate and apply marketing concepts to Hotel and Catering institutions.</p>
<p><strong>Module Objectives</strong></p>
<p>On successful completion of this course, the student should be able to:<span id="more-20"></span></p>
<ul>
<li>Explain the marketing concept/ its application to Hotel and Catering.</li>
<li>Deploy marketing research techniques to a given problem.</li>
<li>Be cognisent of the product life cycle and its implications to Hotel and Catering.</li>
<li>Select a buyer behavioural model to market conferences and events.</li>
<li>Use an organisational buyer behavioural model to market conferences and events.</li>
<li>Deploy marketing mix tools (including price, distribution and communication management) to a given situation.</li>
<li>Compile a market plan.</li>
</ul>
<p><strong> Module Contents</strong></p>
<ul>
<li>Marketing concept, mix.</li>
<li>Marketing research, segmentation.</li>
<li>Service / product development, product life cycle.</li>
<li>Consumer behaviour, organisational buyer behaviour.</li>
<li>Conference and events marketing.</li>
<li>Price management.</li>
<li>Communication management.</li>
<li>Distribution management.</li>
<li>Market planning and control.</li>
</ul>
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		<item>
		<title>business statistics</title>
		<link>http://www.cambridge-uk.org/dbm_syllabus/business_statistics.html</link>
		<comments>http://www.cambridge-uk.org/dbm_syllabus/business_statistics.html#comments</comments>
		<pubDate>Sun, 17 Jan 2010 05:14:56 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[dbm syllabus]]></category>
		<category><![CDATA[Averages]]></category>
		<category><![CDATA[business]]></category>
		<category><![CDATA[computing]]></category>
		<category><![CDATA[course]]></category>
		<category><![CDATA[exam]]></category>
		<category><![CDATA[Measures]]></category>
		<category><![CDATA[Regression]]></category>
		<category><![CDATA[statistic]]></category>

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		<description><![CDATA[


Module Code
CAM 201-BM


Module Title
Business Statistics


Prerequisites
None


Assesment Weightage
Exam : 100%


Textbook

Morris C,(1996), Quantitative Approached in business studies, Pitman




Module Aims
This module will introduce the basic concepts and methods of statistics, as applied to business and computing. Students will use a spreadsheet for data analysis and routine calculations.
Module Objectives
On successful completion of this course, the student should be able to:

Perform [...]]]></description>
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<tbody>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td width="25%" bgcolor="#64715e">Module Code</td>
<td width="75%" bgcolor="#64715e">CAM 201-BM</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Module Title</td>
<td bgcolor="#64715e">Business Statistics</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Prerequisites</td>
<td bgcolor="#64715e">None</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td bgcolor="#64715e">Assesment Weightage</td>
<td bgcolor="#64715e">Exam : 100%</td>
</tr>
<tr bgcolor="#cccccc" bordercolor="#000000">
<td valign="top" bgcolor="#64715e">Textbook</td>
<td bgcolor="#64715e">
<div>Morris C,(1996), Quantitative Approached in business studies, Pitman</div>
</td>
</tr>
</tbody>
</table>
<p><strong>Module Aims</strong></p>
<p>This module will introduce the basic concepts and methods of statistics, as applied to business and computing. Students will use a spreadsheet for data analysis and routine calculations.</p>
<p><strong>Module Objectives</strong></p>
<p>On successful completion of this course, the student should be able to:<span id="more-16"></span></p>
<ul>
<li>Perform simple statistical analyses (see below) making appropriate use of software.</li>
<li>Interpret and evaluate statistical analyses performed by others</li>
</ul>
<p><strong> Module Contents</strong></p>
<ul>
<li>Sources of Data &#8211; sampling.</li>
<li>Diagrammatic Representation of Data &#8211; tables, histograms, scatter plots</li>
<li>Averages and Measures of Dispersion</li>
<li>Using Computer packages to aid data analysis</li>
<li>Correlation and Regression</li>
<li>Probability, Conditional Probability</li>
<li>Probability Distributions &#8211; the normal distribution, the Poisson distribution</li>
<li>The Concepts of Statistical Significance and Confidence Intervals</li>
<li>Simple Applications of Bayes Theorem</li>
</ul>
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